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Full-time
Competitive Salary, Long Term Incentive Plan (LTIP), Flexible Working Time Models, Hybrid Work Option, Yearly Flex Work Allowance of €1560, 31 Vacation Days Annually
Posted 1d ago
~40 hrs/week
Responsibilities
Own analytical delivery regarding product adoption and user behavior while building an AI-native analytics function. Partner with Analytics Engineering to maintain semantic models and provide product signals to Customer Success.
Requirements
Requires 3+ years of data analysis experience in B2B SaaS with strong SQL, dbt, and BigQuery skills. Candidates should be comfortable with notebook-based environments like Hex and have a strong interest in LLM tooling.
Full job description
About Staffbase
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. Paul, our diverse team of 750+ employees supports 2,000+ customers—reaching over 16.4 million employees—in transforming their employee experience. We are proud to be a Unicorn company—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.
The 2-person Product Insights team at Staffbase covers product analytics and product research for a 150-person Product organisation. You do not need a hypothesis test to understand that we need an analytics operating model that punches well above its headcount. You would join a team at an early stage of building something genuinely new: an AI-native analytics function where systems do the heavy lifting and analysts focus on the judgment calls.
This role is not about maintaining a steady state. The person who thrives here does not wait for permission or a fully shaped brief. They spot what needs doing, move on it, and bring others along. If you are energised by building from the ground up - shaping how an AI-native analytics function works at a market-leading tech company - this is the right role.
What you’ll be doing
Product analytics and stakeholder delivery Own regular analytical delivery across product adoption, feature discovery and user behaviour analysis: the models, dashboards, and reports that product management relies on, as well as exploratory deep dives in Hex where the question has not been fully shaped yet. Translate findings into clear output for product leadership, in a form they can act on.
AI-native analytics Shape and build an AI-native analytics function. Use LLMs and agents to accelerate analysis, maintain the context and data models that make self-serve reliable, and help compress work that used to require a full sprint into a day or two. What you build becomes repeatable practice across the wider data community at Staffbase.
Self-serve tooling Support the conversational self-serve layer that gives product managers direct access to data without raising a ticket. Keep the underlying data models and context documentation in good shape so stakeholders get directionally accurate answers fast. We are also in the middle of sunsetting our current BI tool - an open opportunity to take real ownership of how the BI landscape gets rebuilt.
Analytics Engineering partnership Work closely and continuously with Analytics Engineering on the semantic models and shared data foundation that everything runs on. Surface business logic requirements clearly, review model changes for downstream impact, flag issues early, and document what you build together.
Product signals to Customer Success Leverage product insights to keep CS informed before issues show up in revenue. Adoption patterns, churn signals, and expansion opportunities should reach CS in time to act, not in time to explain.
What you need to be successful
3+ years of hands-on data analysis experience in a SaaS or B2B tech company
Strong SQL and data transformation skills - comfortable building and maintaining dbt models and working with large datasets in BigQuery
Product analytics experience in a B2B SaaS context: you understand what engagement, retention, adoption, and churn signals mean and how to act on them
Familiarity with LLM tooling and genuine excitement about how AI is changing the way analysts work
Comfort with Hex or a similar notebook-based environment for exploratory analysis
Clear written communication: you can turn complex findings into something a non-technical stakeholder can act on
Builder drive: you are energised by building from the ground up, lead yourself without waiting for direction, and see the absence of established process as an advantage
The essential human skills: a feel for which questions actually matter, the creative range to find approaches that were not in the brief, and genuine curiosity about the product, the customers, and the data - not just the task at hand
What you'll get
Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Support-we’re offering a company pension scheme
Volunteers Day- you’ll get one day off per year for supporting a social project
The AI-native Employee Experience Platform built for everyone, from frontline to HQ.
Industry
Software Development
Company size
501-1,000 employees
Founded
2014
Headquarters
Chemnitz, Germany
LinkedIn followers
41,094
Total funding
$306M
Staffbase is the first AI-native Employee Experience Platform, equipping many of the world’s leading companies with solutions to inspire every employee with motivating communication. With almost 3,000 customers, Staffbase helps organizations such as Adidas, Alaska Airlines, Audi, Blue Apron, DHL, and Whataburger to inspire their people to achieve great things together.
Staffbase connects companies with their employees through a branded employee app, intranet, email, SMS, digital signage, and Microsoft 365 integrations, all of which can be managed through a single platform. In 2023, Staffbase was named a leader in the 2023 Gartner® Magic Quadrant™ for Intranet Packaged Solutions. Staffbase has also received the 2024 Choice Award for Intranet and Employee Experience Platforms from ClearBox.
The company is headquartered in Chemnitz, Germany, and New York City. Staffbase has worldwide offices including London, Berlin, Tokyo, Sydney, and Prague.
Please visit staffbase.com for more information.
Offices: Annaberger Straße 73, Chemnitz, Germany 09111, DE · 980 6th Ave, New York, NY 10018, WeWork, New York, NY 10018, US · Seestraße 8, Dresden, Saxony 01067, DE · 3 Waterhouse Square, 138-142 Holborn, London, England EC1N 2SW, GB · Spinnereistraße 7, Leipzig, Saxony 04179, DE
employee engagementinternal communications appMitarbeiter-AppCollaborationSocial Intranetinternal commscommunicationsEmployee Communications ManagementSharePointMicrosoft Teams
How many Technology jobs are open in Dresden, Germany right now?
There are currently 91 open technology positions in Dresden, Germany listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Dresden, Germany?
Companies currently hiring include Fraunhofer IGD, GlobalFoundries, Bosch, Infineon Technologies, KLA, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Dresden, Germany?
Yes — 37 of the 91 open technology positions offer remote or hybrid work (2 remote, 35 hybrid).
How do I apply for Technology jobs in Dresden, Germany?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.